Anjana Data Platform

It is not just a Data Governance & Analytics tool, it is the implementation of a philosophy resulting from extensive experience in projects related to Data and AI.

Data governance & AI with Anjana Data Platform

From what to how, and from paper to operational reality

The same scenario repeats itself in every organisation: data everywhere, decisions that cannot wait, and AI models that demand trust in complex technological scenarios, with increasing security requirements and increasingly stringent regulatory environments. And all this with the added pressure of generating value and competitive advantage, reducing costs and ensuring efficiency. There is no lack of technology; what is lacking is operational governance.

Anjana Data Platform helps organisations turn data and AI governance into a truly operational system that serves as a lever for implementing a clear, scalable and measurable data and AI strategy.

Our value proposition

Anjana Data Platform covers the following areas:

Data governance

Clear order and responsibilities: what data is available, who uses it, and under what rules.

AI government

Ensure your AI is reliable: inventoried, with controlled risks and evidence that it delivers what it promises.

Protection and privacy

Secure personal data under control: notifications, permissions, and everything ready for audits.
Data space

Share data with third parties with confidence: clear agreements, common rules and traceability.

Knowledge Marketplace

Put knowledge at your fingertips: dashboards, KPIs, reports, or ready-to-use models.

Características clave de Anjana Data Platform

The most innovative Data & AI Governance Platform

Anjana establece una capa de gobierno común, transversal y agnóstica sobre cualquier arquitectura y stack con un enfoque moderno, compitiendo en capacidades con Collibra, Informatica, Alation y Atlan, entre otras.

Solución agnóstica con integraciones bidireccionales

Se integra con las principales plataformas de datos y nubes para extraer/inyectar metadatos, gestionar permisos, linaje y sampleo, evitando el vendor lock-in y permitiendo gobernar ecosistemas híbridos y multicloud presentes.

Gobierno proactivo y preventivo vs catalogación técnica

Frente a los catálogos técnicos centrados en descubrimiento y linaje, Anjana prioriza la visión de negocio, la operativización del modelo de gobierno y la integración con la gestión de la demanda para automatizar procesos técnicos comunes.

Data Fabric y Data Mesh sobre Active Metadata

Anjana habilita arquitecturas de Datos & IA modernas, integradas y escalables, complementando servicios nativos de Cloud (AWS, Azure, GCP, Oracle) y otras Plataformas como Denodo, Snowflake, Databricks, Cloudera…

Features and capabilities

A new approach to the implementation and operationalisation of Data Governance & AI thanks to a distinctive solution based on value-added features that promote collaboration and data democratisation.

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UX & UI intuitiva y adaptada a cada perfil

Ofrece una experiencia de usuario simple, intuitiva y orientada a perfiles no técnicos. La interfaz se adapta a cada rol dentro del modelo de gobierno, mostrando solo la información y acciones relevantes para cada usuario. Esto acelera la adopción, reduce la curva de aprendizaje y facilita la colaboración entre negocio, datos y tecnología.

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Portal de Configuración avanzado

Centraliza la configuración del modelo de gobierno, metamodelo y operación de la plataforma en un portal único y avanzado. Define dominios, roles, permisos, flujos, plantillas y reglas sin necesidad de desarrollo, mediante parametría no-code y low-code, permitiendo adaptar la plataforma de forma ágil a la evolución organizativa.

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Multiidioma en interfaz y contenido

Adapta la plataforma a entornos globales y organizaciones multinacionales gracias a sus capacidades avanzadas de multiidioma. La interfaz de usuario y los contenidos gobernados —metadatos, descripciones, términos de negocio y documentación— pueden gestionarse en múltiples idiomas, permitiendo una experiencia coherente, inclusiva y alineada con la realidad operativa de cada equipo.

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Operationalisation of the governance model

Implementa y operativiza cualquier modelo de gobierno de Datos & IA —centralizado, federado o híbrido— mediante la definición flexible de dominios, roles y permisos. La plataforma abstrae personas de responsabilidades, permitiendo evolucionar el modelo organizativo en el tiempo sin fricción y asegurando que el gobierno se aplique de forma coherente en todos los módulos.

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Políticas, procedimientos, workflows y notificaciones

Diseña y ejecuta políticas y procedimientos de gobierno mediante flujos de trabajo dinámicos basados en roles. El BPM integrado permite automatizar aprobaciones, estados y validaciones a lo largo del ciclo de vida de los activos, incorporando alertas y notificaciones que facilitan la colaboración y garantizan un enfoque governance-first y governance-by-design.

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Catálogo de Datos & IA metadata-centric

Inventaría y gestiona cualquier activo de Datos & IA de forma agnóstica a la tecnología desde un enfoque metadata-centric. El Catálogo centraliza metadatos técnicos, de negocio, operativos, de calidad y regulatorios en un único Metadata Lake, ofreciendo una visión completa, contextualizada y siempre alineada con el uso real de los datos.

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Glosario de negocio y capa semántica

Construye un lenguaje común y compartido para toda la organización mediante un Glosario de Negocio totalmente integrado con el catálogo técnico. Define términos, conceptos y métricas de negocio vinculados a los activos de información, facilitando la comprensión, la reutilización y la alineación entre negocio y tecnología en un entorno colaborativo.

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Linaje híbrido, global, extendido y multicapas

Visualiza la trazabilidad completa de los activos de información desde el origen hasta el consumo, y desde la capa técnica hasta la de negocio. El linaje multicapas permite adaptar la experiencia a distintos perfiles y construir un Grafo de Conocimiento que potencia el análisis de impactos, la confianza y el aprovechamiento del ecosistema de Datos & IA.

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Portal de Información y buscador global

Accede de forma sencilla al conocimiento corporativo sobre Datos & IA mediante un portal unificado con búsqueda semántica en lenguaje natural. Aplica filtros dinámicos sobre cualquier metadato del Metadata Lake, guarda búsquedas personalizadas y encuentra rápidamente los activos más relevantes según el contexto y tus necesidades.

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Marketplace de Información y Conocimiento

Publica, descubre y consume Productos de Datos, IA y Conocimiento en un entorno gobernado. El Marketplace permite gestionar Data Sharing Agreements y Contratos de Datos, habilitando un autoservicio regulado similar al e-commerce, con procesos end-to-end automatizados para democratizar el acceso sin perder el control.

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Active metadata management

Activa el gobierno de Datos & IA mediante la captura, generación y enriquecimiento continuo de metadatos desde múltiples fuentes. La plataforma orquesta acciones automáticas sobre los activos gobernados, integrando gobierno, DataOps y gestión de la demanda para situar el control desde el diseño y a lo largo de toda la cadena de valor.

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Impact control in the face of change

Analiza de forma proactiva el impacto de cualquier cambio antes de aplicarlo. Gracias al linaje, el versionado y la gestión del ciclo de vida, la plataforma permite identificar dependencias, prevenir riesgos y coordinar acciones con los stakeholders afectados, reduciendo errores y garantizando cambios controlados y trazables.

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Histórico de cambios y auditoría

Registra y audita todas las acciones realizadas sobre los activos de información, independientemente del canal o usuario. Mantén un histórico completo de cambios, versiones y eventos, integrando también información de auditoría de sistemas externos para garantizar trazabilidad, cumplimiento normativo y evidencia ante auditorías internas y externas.

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Workspace para acciones masivas

Optimiza la gestión operativa mediante un espacio de trabajo diseñado para ejecutar acciones masivas sobre múltiples activos de información. Permite aplicar cambios, validar estados, asignar responsables o lanzar procesos de forma eficiente y controlada, reduciendo tareas manuales y asegurando coherencia con el modelo de gobierno definido.

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Gestión de la calidad de Datos & IA

Define, gestiona y monitoriza reglas y métricas de calidad asociadas a los activos de información. La plataforma centraliza los resultados de motores de calidad externos, permitiendo analizar tendencias, gestionar alertas y coordinar acciones correctivas desde un único punto, alineando calidad, gobierno y toma de decisiones.

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Observabilidad de Datos & IA

Obtén visibilidad continua sobre el estado, uso y comportamiento de los activos de Datos & IA gobernados. La plataforma permite observar métricas, eventos, calidad, accesos y procesos a lo largo del ciclo de vida, facilitando la detección temprana de riesgos, desviaciones y oportunidades de mejora desde una perspectiva de gobierno.

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Sampleo de activos de información

Permite a los usuarios previsualizar de forma segura y controlada el contenido de los activos de información. La plataforma obtiene muestras limitadas y ofuscadas directamente desde los sistemas origen, respetando las políticas de gobierno, para facilitar la evaluación y el entendimiento antes de solicitar acceso completo.

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Monitorización y seguimiento de gobierno

Mide y supervisa el grado de implantación del Gobierno de Datos & IA mediante cuadros de mando, informes y alertas personalizadas. Gracias a su arquitectura abierta, la plataforma se integra con cualquier herramienta de BI o analítica, ofreciendo visibilidad continua sobre el uso, la calidad y el cumplimiento del modelo de gobierno.

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Interoperabilidad total a través de APIs

Integra Anjana Data Platform de forma bidireccional con cualquier sistema o herramienta del ecosistema mediante APIs REST totalmente documentadas. La plataforma permite automatizar procesos, intercambiar metadatos y orquestar acciones externas sin cajas negras ni vendor lock-in, garantizando una arquitectura abierta, extensible e interoperable.

Discover the platform

Key features

Methodology, accelerators, and change management for time-to-market y time-to-value adapted to complex environments.

Designed for non-technical profiles; multiple role-playing experiences y Training Portal for customers and partners.

Expansion of the model to the entire ecosystem with horizontal scaling (Big Data technology) and no-code/low-code modular architecture.

Aligned with major standards (including. ENS), role-based and domain-based access controls.

Complete RESTful API with Swagger (public, administrative and configuration) and compatibility with any system/tool.

Application of policies and execution of technical processes to convert data into strategic asset.

Branding, colours, styles, languages; customisation of governance model, metamodel, templates, workflows, notifications, and translations.

Open access to internal information for measurement purposes adoption y penetration of data governance.

Guided evolution by renowned specialists in Data Management in Product and Customer Success.

Ready for Data & ML Ops, Data Fabric, Data Mesh, Data Spaces, AI Governance, Adaptive D&AI Governance.

Remote support model with high NPS and medium- and long-term relationships based on trust.

With leading cloud providers and data vendors: integrations plug-and-play that prevent vendor lock-in.

Differentials of Anjana Data Platform compared to technical catalogues and all-in-one suites“

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Positioning and architectural integration

• Unified Data Governance and AI: Platform-agnostic solution that integrates with clouds and data platforms to manage metadata, permissions, and data sampling.

• No technological lock-in: It allows the stack to evolve without reworking governance, thanks to its decoupled and flexible architecture.

• Beyond the catalogue: It competes in the Data & Analytics Governance Platforms segment, with a common governance layer over heterogeneous technologies.

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Governing ≠ cataloguing

• Catalogues technicians attached to the stack: Tools such as Purview, Glue, and Dataplex prioritise discovery, lineage, and metadata, but with a technical focus and without governance capabilities.

• Complete government with Anjana: Anjana adds domains, roles, policies, SLAs, data contracts, workflows and lifecycle, along with catalogue, glossary and marketplace.

•Combined and scalable architecture: Integrate native catalogues with an active governance layer, using bidirectional relationships and master/slave control by usage.

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Differential capabilities that operationalise governance

• Integrated governance: Native BPM with policy integration, demand management, alerts, and control based on roles and organisational hierarchies.

• Active metadata and DataOps: Management of functional and technical metadata with automation to act on assets and apply governance from the outset.

• Controlled change and integrations: Impact analysis, versioning, and expirations, with bidirectional integrations for secure and governed self-service.

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Operational and economic model aligned with scalability

• No-code and API-first architecture: Scalable design, no black boxes, 100% interoperable and with plug&play integrations thanks to technological alliances.

• Flexible deployment model: Managed IaaS, PaaS or SaaS options, tailored to different environments and operational needs.

• Licensing for actual use: Payment for governed assets, with integrations and plugins included from the outset.

Roadmap for implementing and operating Anjana Data

Discover the complete implementation process

Initial diagnosis of architecture and infrastructure

Initial diagnosis of architecture and infrastructure

1

Preparation and provisioning of environments

Preparation and provisioning of environments

2

Launch of Anjana Data's core services

Launch of Anjana Data's core services

3

Selection of use case and definition of KPIs

Selection of use case and definition of KPIs

4

Technical integration: connections, identities, and permissions

Technical integration: connections, identities, and permissions

5

6

Functional parameterisation of the platform

Functional parameterisation of the platform

7

Training and workshops

Training and workshops

8

Case productisation and conclusions for scaling up

Case productisation and conclusions for scaling up

9

Licence registration and support authorisation

Licence registration and support authorisation

Initial diagnosis of architecture and infrastructure

1

Preparation and provisioning of environments

2

Launch of Anjana Data's core services

3

Selection of use case and definition of KPIs

4

Technical integration: connections, identities, and permissions

5

Functional parameterisation of the platform

6

Training and workshops

7

Case productisation and conclusions for scaling up

8

Licence registration and support authorisation

9

Integration with third-party technologies

1. Open architecture and API-first; bidirectional integration with OOTB plugins for SSO/IAM and local management.

2. Discovery and ingestion of metadata from dictionaries and catalogues (including cloud-native ones).

3. Comprehensive Quality, Safety and Audit Management: definition of rules and import of control results and logs.

4. Injection of tags/metadata into external technologies to activate security, privacy, and quality policies.

5. Secure, obfuscated on-demand sampling to preview format and content.

6. Permission management on underlying technologies to enable a truly automated marketplace.

7. Orchestration of actions in third-party tools for preventive and proactive governance.

How Anjana Data fits in in your architecture

A unified, comprehensive and cross-cutting layer of governance that does not replace your current Data & AI technology ecosystem.

Integrate, complement, and enrich your platforms' native technical catalogues thanks to native bidirectional integrations.

Operationalise your DataOps, Data Mesh, and Data Fabric initiatives with a common layer of governance and marketplace.

Learn about Anjana Data's architecture and integrations

Benefits by profile

Producers and Suppliers

  • Control of information production processes (quality and availability)
  • Preparation and certification of data for sharing and consumption by third parties
  • Knowledge of who is using what information and for what purposes
  • Comprehensive audit to support regulatory and compliance requirements

Strategy and Oversight

  • Maximise the ROI of information usage and exploitation initiatives with the possibility of monetising information
  • Increased productivity and efficiency and reduced costs and risks
  • Consistent view of information consumption within the organisation
  • Compliance with rules and regulations and implementation of common internal policies

Users and Consumers

  • Understand the available information along with its context and meaning
  • Improved decision-making process thanks to better managed, higher quality data
  • Agility in data consumption and exploitation processes (self-service)
  • Control of information production processes (quality and availability)

The platform's pricing is unlike all the others

  • Real transparency, without artifice No complicated licences per user, connector or module, nor unverifiable consumption “calculators”.
  • Native add-ons and integrations included Plugins and integrations developed alongside customers and partners, available under any licence type, with no additional charges.
  • Long-term relationship, in your language Product and Customer Success work together to tailor the platform to your strategy (and not the other way around), with close support in Spanish.
Find out more here

Use cases enabled

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Knowledge management

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Foster a data culture aimed at eliminating silos and managing information knowledge in a cross-cutting and transparent manner to promote the reuse of data assets.

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Creating a single repository for accessing knowledge about the organisation's data assets through a Data Portal with a Business Glossary and a Data Catalogue containing all the necessary information for any interested party, in understandable language tailored to their profile.

 

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Decision-making

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Improve agility and effectiveness in data- and AI-driven decision-making by enhancing data quality and reducing the inherent risks associated with data usage.

 

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Implementing and integrating an adaptive operational framework for Data Governance and AI that enables the organisation to bring data closer to business roles by facilitating the application of custody policies and procedures for data quality, security, privacy, and ethics.

 

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Governed self-service

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Promote the democratisation and self-service of data assets across business areas for different use cases, facilitating information sharing in a federated ecosystem.

 

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Building an information marketplace that enables different stakeholders to understand the context of the data and share information effectively and efficiently without the need for technical expertise, in an environment regulated by Data Sharing Agreements and Data Contracts.

 

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Data monetisation

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Create data/information/AI products that can be monetised and generate new revenue streams by creating new business-oriented products and/or services.

 

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Adopting a domain-based Data Mesh architecture with advanced capabilities to group, manage, and publish different data/information/AI assets in various formats and supported by different technologies, making them available for multiple and diverse use cases.

 

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Cost reduction

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Leverage cutting-edge hybrid data and AI platforms and architectures to reduce risks, operational costs, and IT costs associated with data and AI management.

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Implementing an adaptive design governance operating model integrated into existing demand management processes to avoid bureaucracy and bridge the gap between business and IT, by operationalising Data&AIOps models with technical process automation within the layers of governance, integration, data storage and consumption, and AI. This model, driven by active metadata, is the basis for Data Fabric and Data Spaces architectures.

 

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Regulatory compliance

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Comply with existing regulations related to data and AI in a straightforward manner, facilitating custody processes and the submission of evidence to Central Government Bodies.

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Creating a taxonomy-driven metadata lake as a single source of truth to meet regulatory and/or compliance requirements by standardising metadata management, centralising observability, integrating audits, ensuring traceability, and controlling risks.

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Productivity and efficiency

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Increase the productivity of data stakeholders by reducing the time spent on manual tasks related to data and AI management and governance.

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Creating a federated collaborative environment that facilitates interaction between users while empowering them, and incorporating advanced process automation and recommendation functionalities.

Why choose Anjana Data Platform?

  • Agnostic about technology and ready for multi-cloud/hybrid
  • No vendor lock-in, true interoperability and no-code/low-code model
  • Active government with extended lineage, data contracts, and marketplace.
  • Enterprise security and compliance (including ENS)
  • Designed by experts, with agile support and strategic partnerships.

Ready to take Data Governance & AI to the next level?

No esperes más y descubre cómo convertir tu organización en Data & AI Driven con Anjana Data Platform

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